An effective self-test method for extracting thermal parameters of thermopile IR sensors. (15th May 2022)
- Record Type:
- Journal Article
- Title:
- An effective self-test method for extracting thermal parameters of thermopile IR sensors. (15th May 2022)
- Main Title:
- An effective self-test method for extracting thermal parameters of thermopile IR sensors
- Authors:
- Yuan, Tianhui
Fu, Jianyu
Lu, Yihong
Hou, Ying
Huang, Peng
Chen, Dapeng - Abstract:
- Highlights: We presented a self-test method based on the thermopile structural model and electrical characteristics to evaluate the thermal parameters of thermopile IR sensors. We measured the Seebeck coefficient, thermal conductance, heat capacitance, and thermal time constant of a thermopile IR sensor, respectively. Compared with the results obtained by other methods, the relative errors are small. This method could provide certain guiding relevance for associated researchers conducting design improvement and performance testing because of its simplicity and effectiveness. Abstract: Thermopile infrared (IR) sensors are thermal-type sensors. It is of great significance to evaluate its four thermal parameters: Seebeck coefficient, thermal conductance, heat capacitance, and thermal time constant. In this work, an effective self-test method to measure these thermal parameters is proposed that takes advantages of thermopile IR sensors' structural and electrical characteristics and does not need to add heater in structure. The technique to accurately extract thermal parameters is analyzed carefully, and its validity is verified by a thermopile IR sensor. The experimental Seebeck coefficient is consistent with the tested value of on-chip test structure in the same die, and the experimental thermal conductance, heat capacitance, and thermal time constant results agree well with the theoretical analysis of structure. These demonstrate that this method is effective and accurate, asHighlights: We presented a self-test method based on the thermopile structural model and electrical characteristics to evaluate the thermal parameters of thermopile IR sensors. We measured the Seebeck coefficient, thermal conductance, heat capacitance, and thermal time constant of a thermopile IR sensor, respectively. Compared with the results obtained by other methods, the relative errors are small. This method could provide certain guiding relevance for associated researchers conducting design improvement and performance testing because of its simplicity and effectiveness. Abstract: Thermopile infrared (IR) sensors are thermal-type sensors. It is of great significance to evaluate its four thermal parameters: Seebeck coefficient, thermal conductance, heat capacitance, and thermal time constant. In this work, an effective self-test method to measure these thermal parameters is proposed that takes advantages of thermopile IR sensors' structural and electrical characteristics and does not need to add heater in structure. The technique to accurately extract thermal parameters is analyzed carefully, and its validity is verified by a thermopile IR sensor. The experimental Seebeck coefficient is consistent with the tested value of on-chip test structure in the same die, and the experimental thermal conductance, heat capacitance, and thermal time constant results agree well with the theoretical analysis of structure. These demonstrate that this method is effective and accurate, as well as simple for researchers to apply. … (more)
- Is Part Of:
- Measurement. Volume 194(2022)
- Journal:
- Measurement
- Issue:
- Volume 194(2022)
- Issue Display:
- Volume 194, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 194
- Issue:
- 2022
- Issue Sort Value:
- 2022-0194-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05-15
- Subjects:
- Thermopile IR sensors -- Thermal parameters -- Self-test -- Peltier effect
Weights and measures -- Periodicals
Measurement -- Periodicals
Measurement
Weights and measures
Periodicals
530.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02632241 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.measurement.2022.110967 ↗
- Languages:
- English
- ISSNs:
- 0263-2241
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5413.544700
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